WISER Seminar Papers

  • WISER's TRUST seminar is hosted on-line every Monday afternoon from 16:00 - 17:00 SA time during the teaching semester. Forthcoming seminars are available here, and past events are detailed in our archive.
  • Please register on Zoom in advance of the meeting on this link.
  • Participants should please read the paper (below) prior to the seminar; it will typically be available by the Friday preceding the seminar.

In this semester, the Trust seminar will explore questions of credit and debt on the African continent. In contrast with the argument that trust and confidence are synonymous (most evident in the Edelman Trust Barometer and the reporting around it), some of the most convincing scholarship argues for the direct association of trust with credit.  Other researchers, studying informal African institutions, have found credit everywhere on this continent, but little that can be associated with trust. Some state institutions (like SACCOs in Kenya) and simpler penalties, like efficient bankruptcy laws, seem also to be instrumental in shaping the politics of credit. One key driver of credit systems is a secondary market, which depends in part on institutions and information that derive from (and support) fiduciaries. These are especially important in the contemporary tensions between firm-based and individualised credit systems. The seminar series this semester will explore some of these dynamics, examining how they have shaped the cultures and politics of debt and credit from the precolonial to the contemporary period.

Presented by : Gregory Gondwe

18 May 2026 - 4:00pm

This study investigates the role of encrypted messaging apps, specifically WhatsApp, in disseminating political disinformation during South Africa’s 2024 general elections. Drawing on a dataset of 22,384 messages from 47 politically active WhatsApp groups and 6,283 unique users, the study identifies how AI-generated deepfakes, emotional manipulation, and ideological group structures facilitated the spread of false political narratives. Using MyFactChecker, an AI-powered sentiment and verification tool, we reveal that disinformation most frequently relied on fear-based appeals (41%), identity-driven rhetoric (32%), and content mimicking credible journalism (27%). The findings show that disinformation gained traction not through factual accuracy but through emotional resonance and relational trust within ideologically cohesive groups. Even when flagged as false, corrective content was often dismissed as propaganda or foreign interference, thus underscoring how truth contests unfold within closed, affective networks.

Paper for discussion:
WISER Research Theme: